Wireless intelligent management method for aquaculture equipment

Abstract

The invention discloses a wireless intelligent management method for aquaculture equipment. The wireless intelligent management method comprises the steps that a user registers an account; the user logs in, and a plurality of fishpond areas can be added in a fishpond area management interface; the fishponds are added according to the number of fishponds managed by the user through a fishpond adding button on the fishpond area interface; the adding and naming of the fishponds, the binding of a control box, the setting of an alarm number and the management of control personnel are sequentiallyset; aquaculture equipment are arranged, upper and lower limits of protection current are selected by pressing the icon of the aquaculture equipment, and the icon type of the aquaculture equipment ismodified according to the aquaculture equipment type of the fishpond; and the current state of each set of aquaculture equipment is checked. According to the invention, the visual map type operation is realized, the time for switching on and off the fishpond on site in the middle is saved, the user does not need to remember the corresponding relationship between the equipment number and the placement of the controller, and various monitoring data of the aquaculture equipment can be visually checked in the system, so that the system can be more truly displayed to the user, and the user can usethe system more easily and conveniently.

Description

technical field [0001] The invention relates to the field of aquaculture, in particular to a wireless intelligent management method for aquaculture equipment. Background technique [0002] With the development of artificial intelligence in recent years and the expansion of the scale of the aquaculture industry, more and more information technology has been applied to the aquaculture industry, and wireless intelligent management has greatly improved the efficiency of aquaculture. A wide range of breeding areas saves the time of switching farming equipment back and forth during the breeding process. Many farms will choose to install wireless intelligent controllers for aquaculture equipment. However, since general farms have multiple farming areas, each farming area There are multiple fish ponds. Generally, farmers need to install multiple controllers to meet the needs of farming. Most of the wireless smart controllers on the market use text or list mode to help farmers identi...

AI Technical Summary

Problems solved by technology

[0002] With the development of artificial intelligence in recent years and the expansion of the scale of the aquaculture industry, more and more information technology has been applied to the aquaculture industry, and wireless intelligent management has greatly improved the efficiency of aquaculture. A wide range of breeding areas saves the time of switching farming equipment back and forth during the breeding process. Many farms will choose to install wireless intelligent controllers for aquaculture equipment. However, since general farms have multiple farming areas, each farming area There are multiple fish ponds. Generally, farmers need to install multiple controllers to meet the needs of farming. Most of the wireless smart controllers on the market use text or list mode to help farmers identify which fish the controller is connected to. When there are a lot of fish ponds or a lot of farming equipment, users often need to check the switch status of the aerator one by one, and it is even difficult to distinguish the distribution of the farming equipment in which fish pond

Because aquaculture needs to respond to weather changes in a timely manner to adjust the switch time and the number of switches for farming equipment, it is undoubtedly impossible for farmers to implement accurate emergency response plans for farming in time, which will cause farmers to be unable to make timely decisions. Judgment affects the survival rate of aquatic organisms, which leads to poor user experience

[0003] At present, large-scale aquaculture farmers basically have multiple employees to manage different fish pond areas separately. For example, the operator of company X is A, and company X has three fish pond areas, which are managed by employees B, C, and D. , and A needs to arrange different management areas for B, C, and D respectively. The aquaculture system currently on the market does not fundamentally solve this demand, and operator A cannot see all the operations and management status of employees. pain points

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